cpmr
Connectome Predictive Modelling in R
Connectome Predictive Modelling (CPM) (Shen et al. (2017) <doi:10.1038/nprot.2016.178>) is a method to predict individual differences in behaviour from brain functional connectivity. 'cpmr' provides a simple yet efficient implementation of this method.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | cpmr_0.1.1.tar.gz |
41.1 KiB |
0.1.1 |
rolling linux/noble R-4.5 | cpmr_0.1.1.tar.gz |
41.1 KiB |
0.1.1 |
rolling source/ R- | cpmr_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | cpmr_0.1.1.tar.gz |
41.1 KiB |
0.1.1 |
latest linux/noble R-4.5 | cpmr_0.1.1.tar.gz |
41.1 KiB |
0.1.1 |
latest source/ R- | cpmr_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-26 source/ R- | cpmr_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-23 source/ R- | cpmr_0.1.1.tar.gz |
14.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | cpmr_0.1.1.zip |
43.5 KiB |
0.1.0 |
2025-04-20 source/ R- | cpmr_0.1.0.tar.gz |
13.0 KiB |